Cafe Net: Difference between revisions

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== History ==
Etuarti Takatunuye is arguably one of the leading computer scientists of the Oan Isles. He founded the company in 2010 as a platform to post pictures. Originally the layout and the conceptual design was very simple and primitive. When he came looking for funding, the [[Metatron Corporation]] laughed at him and said that his idea for an online platform that would connect the people of the world would fail abysmally. He then pitched the idea to Damehowe executives at the Auroran Conference for Innovation in Information and Communication Technology (known simply as Innovation Con).
 
They were taken by the idea and as part of their angel investor program, provided him with the financial capital and mentorship to cultivate the idea and establish his start up. The initial prototype search engine at the time called Coffee Club was a stupendous failure. Hardly anyone used it and it was prone to regularly collapse. This was because he had packed an incredible amount of functionality, detracting from its core purpose and undermining the user experience. When Damehowe threatened to pull the plug from the company, his team worked for 3 months and produce a vastly more simple product called Cafe Net. It was an incredibly simple browser yet its initial public offering raised 5 billion KRB on the Sani Bursil Stock Exchange.
 
Yet it would be years before the company could turn a profit. Instead, Damehowe bought Takatunuye's stake in Cafe Net through an equity swap. This is basically when you pay for shares with shares. Etuarti remained at the head of the company. Damehowe suggested moving the company to Sani Bursil to centralize their operations. Takatunuye refused because he believed that the Oan Isles vibrant tech sector provided some of the best computer scientists and entrepreneurs. Thus, the company remained firmly located in Cafe Net. His browser benefited from its incredibly simple but elegant algorithm, immaculate and user-oriented design. The work of Cafe Net spawned the Cafe Vibes video sharing platform.
 
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== Organisation ==
The company is fully owned by Damehowe. It shares information and resources with Damehowe and subscribes to the corporate culture and policies of that company. Nevertheless, it remains independent in its internal operations and strategy. The founder and CEO of the company, Etuarti Takatunuye runs the company. Unlike most companies, his primary focus is developing products withwhereas other C-suite officials and directors handlinghandle operational, marketing and related functional areas.
 
== Services and products ==
 
=== Cafe Vibes ===
Cafe Vibes (stylisedhereinafter referred to simply as VIBESVibes) is a social media platform geared toward video content creation. It is available on desktop, mobile and tablet. It can be accessed via the website or the mobile application. It is geared toward sharing videos. Content creators post live or recorded videos of unlimited duration on which other users can comment. Consumer users are able to search or browse through the videos to find the content they want. The site can make recommendations for that user on videos which they might like.
 
=== Cafe Net ===
Cafe Net (stylisedhereinafter referred to simply as NETNet), is athe search engine and browser service, is the locus of the entire company. It is available in many international languages such as but not limited to [[Wikipedia:English language|Staynish]], [[Wikipedia:Maori language|Oan]], [[Wikipedia:German language|Ethalrian]] and [[Wikipedia:Georgian language|Salovian]]. It is completely free and its search algorithm prioritises user-focused search results. Thus, it uses personally identifiable data to build a profile and optimise the user experience. This is a service it sells to companies by allowing them to buy advertising space and target their advertisements to users. Net protects users through the Provider-Advertiser-User Compartmentalisation Method (PAUCM). PAUCM protects user data as follows:
 
* Advertisers are not able to access the data collected in the user profile. The algorithm automatically targets the users who fit the target market.
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